Sr Machine Learning Infrastructure Engineer

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Our focus is developing AI technologies for text, images, and videos to boost creativity.

We're seeking an outstanding ML infra engineer with deep expertise in building large scale foundation models infrastructures that support all the generative AI efforts in Firefly! This is a chance to create a huge impact in a fast-paced, startup-like environment in a great company. Join us!

The position involves building infrastructures touching various components of our foundation model stack. including large scale data processing, scalable and reliable PyTorch training infrastructures, GPU optimizations with custom CUDA kernels on the latest Nvidia GPUs, and more!

Responsibilities:

* You'll build and optimize infrastructures that power large foundation model training on thousands of GPUs

* You will profile GPU utilization, trace inference and training runs and help craft strategies for optimizing our ML model latency.

* We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.

* You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches.

* Throughout the product lifecycle, you'll engage in architecture, design, deployment, and optimizations of ML models and systems.

Requirements:

* Graduate, PhD, or postgraduate degree in Computer Science, Computer Engineering, or a related field-or equivalent experience.

* 5+ years ML Engineering experience, specializing in generative AI like LLMs.

* Hands-on experience in training and inferencing with PyTorch will be essential.

* Experience with foundation model pretraining, finetune, or distillation. Experience with generative image and video model is a strong plus.

* Strong verbal and written communication skills in cross-functional team environments

#FireflyGenAI

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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